Table Of Contents
Table Of Contents

mx.nd.batch.dot

Description

Batchwise dot product.

batch_dot is used to compute dot product of x and y when x and y are data in batch, namely 3D arrays in shape of (batch_size, :, :).

For example, given x with shape (batch_size, n, m) and y with shape (batch_size, m, k), the result array will have shape (batch_size, n, k), which is computed by:

batch_dot(x,y)[i,:,:] = dot(x[i,:,:], y[i,:,:])

Arguments

Argument

Description

lhs

NDArray-or-Symbol.

The first input

rhs

NDArray-or-Symbol.

The second input

transpose.a

boolean, optional, default=0.

If true then transpose the first input before dot.

transpose.b

boolean, optional, default=0.

If true then transpose the second input before dot.

forward.stype

{None, ‘csr’, ‘default’, ‘row_sparse’},optional, default=’None’.

The desired storage type of the forward output given by user, if thecombination of input storage types and this hint does not matchany implemented ones, the dot operator will perform fallback operationand still produce an output of the desired storage type.